A rating of a brand's perceived reliability in AI search outputs.
Content creators and SEO professionals reading about AI search analytics tools.
01What it is and how it works
The Trustworthiness Score is calculated by the AI platform each time it generates a response that includes a brand. The algorithm looks at structured data (Schema.org markup), the brand’s E‑E‑A‑T signals from Google’s Search Quality Guidelines, and real‑time user engagement metrics such as click‑through and bounce rates. Each factor is weighted, and the sum is normalized to a 0‑100 scale. A higher score means the AI is more likely to surface the brand as a credible source.
It is a number that tells how trustworthy a brand looks when AI shows it in search.
02What to do about it
Improving the Trustworthiness Score can be tackled in a few focused actions this week:
- Add or update Schema.org markup for Organization, Brand, and FAQ on key pages.
- Publish at least two new pieces of content that cite primary sources and include author bios with credentials.
- Run a quick audit of existing pages for factual errors and correct them.
- Encourage satisfied customers to leave reviews on Google Business and industry‑specific sites.
03How it is measured or noticed
You can see the score in the brand dashboard of the AI search analytics tool. The UI shows a numeric value, a trend line, and a breakdown of contributing signals. Look for spikes when you add structured data or publish high‑quality articles. The platform also flags pages that are dragging the score down, usually because of thin content or broken links.
04Common mistakes
- Relying only on keyword stuffing to boost visibility.
- Using generic or outdated Schema.org types that the AI no longer reads.
- Publishing content without citations and then expecting a high score.
- Ignoring negative user feedback; a high bounce rate will pull the score down.
05Limits
The Trustworthiness Score does not apply to purely transactional queries where the AI only returns product listings. It also does not replace human editorial review; a high score can still mask subtle bias. The metric is often confused with PageRank or domain authority, but it is specific to AI‑generated answers, not traditional web ranking.
06Worked example
"After adding Organization markup and publishing a research‑backed blog post, our Trustworthiness Score rose from 58 to 73 within three days. The AI now lists us as the top source for ‘organic skincare safety.’"
Frequently asked questions
How does the Trustworthiness Score differ from the Relevance Score?
It depends on the metric; the Trustworthiness Score measures perceived reliability based on content quality, factual accuracy, and user feedback, while the Relevance Score focuses on how well the result matches the query intent. The former reflects brand credibility, the latter reflects query fit.
Should we aim to improve the Trustworthiness Score for every brand mention?
Usually you should prioritize it for brand queries where credibility matters, such as informational or advisory searches. For purely transactional queries that only return product listings, the score does not apply.
Who calculates the Trustworthiness Score and what data is used?
The AI platform calculates the score automatically each time it generates a response that includes a brand. It combines signals like content quality, factual accuracy, and aggregated user feedback.
Does the Trustworthiness Score still reflect changes after we update our content?
Yes, the score is refreshed whenever the AI processes a new request that references the updated content. You will see the impact in the brand dashboard after the next relevant query.
What happens if our Trustworthiness Score is low for a product listing query?
It doesn’t affect product‑listing queries because the score is not applied to purely transactional searches. However, a low score may still influence broader informational results that mention the brand.
How long does it take for improvements to appear in the Trustworthiness Score?
Typically a few days of consistent, higher‑quality content and positive user feedback are needed before the score updates. You can monitor progress in the dashboard while the AI re‑evaluates the brand.
Asked out loud
spoken, not typedThe same term in the words somebody uses speaking to an assistant rather than typing into a box — written from the situation, which is why each one carries the situation it came from.
Usually the AI shows the current Trustworthiness Score on your brand dashboard, so you can check it instantly. If the score is high, the AI is likely to present your brand as trustworthy in its answers.
It means the AI detected issues with content quality, factual accuracy, or user feedback for that brand. Review the detailed signals in the dashboard to pinpoint the problem areas.
Yes, once you make targeted improvements, the AI will start reflecting the higher score within a few days. Keep an eye on the dashboard to see the changes as they roll out.